[在眼科中实现和评估医生与患者对话 (ADAPI) 的自动记录解决方案,以IVI例为例]
Clemens N Rudolph1, Philip Wakili2, Annekatrin Rickmann2
1Augenklinik Sulzbach, Knappschaftsklinikum Saar, An der Klinik 10, 66280, Sulzbach/Saar, Deutschland. Clemens.Rudolph@kksaar.de.
Die Ophthalmologie
|January 15, 2025
概括
自动语义语音识别 (ASR) 与医生与患者对话的自动记录 (ADAPI) 显示了提高临床效率的潜力. 虽然直接患者护理的改进是有限的,但该系统成功地集成到医院的工作流程中,减少了文件处理时间.
科学领域:
- 医疗信息学 医疗信息学
- 改善临床文档的改善
- 卫生信息技术 信息技术
背景情况:
- 临床实践中增加的官僚任务会对医生与患者的沟通产生负面影响.
- 像自动语义语音识别 (ASR) 这样的数字技术为信息提取和文档提供了潜在的解决方案.
研究的目的:
- 评估ASR与医生与患者对话 (ADAPI) 的自动化文档集成到常规临床实践中的情况.
- 通过使用IVI常规作为模型,通过流程优化评估患者护理的潜在改进.
主要方法:
- 在苏尔兹巴赫眼科诊所 (2020-2022) 参与50名患者的前性单心研究.
- 在医院信息系统 (HIS) 中开发和集成ADAPI演示器.
- 通过患者调查,用户接受度和节省时间的分析进行定性和定量评估.
主要成果:
- 成功地将ADAPI模块集成到HIS中,自动化文档和后续流程.
- 26%的患者报告DPC有所改善;70%没有注意到主观变化.
- 平均对话持续时间从4.46分钟 (传统) 减少到3.9分钟 (ADAPI).
结论:
- 在传统和ADAPI文档之间没有观察到DPC质量的显著差异.
- 需要对更大的队列和多样化的应用进行进一步评估.
- 预计自动化文档解决方案将长期提高临床文档的效率,完整性和一致性.
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